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This paper reviews the first challenge on single image super-resolution (restoration of rich details in an low resolution image) with focus on proposed solutions and results. A new DIVerse 2K resolution image dataset (DIV2K) was employed. The challenge had 6 competitions divided into 2 tracks with 3 magnification factors each. Track 1 employed the standard bicubic downscaling setup, while Track 2...
Cloud-based systems get changed more frequently than traditional systems. These frequent changes involve sporadic operations such as installation and upgrade. Sporadic operations may fail due to the uncertainty of cloud platforms. Each sporadic operation manipulates a number of cloud resources. The accessibility of resources manipulated makes it possible to build an accurate process model of the correct...
Public clouds are a style of computing platforms, where scalable and elastic Information Technology-enabled capabilities are provided as a service to external customers using Internet technologies. Using public cloud services can reduce costs and increase the choices of technologies, but it also implies limited system information for users. Thus, anomaly detection at user end has to be non-intrusive...
Operations such as upgrade or redeployment are an important cause of system outages. Diagnosing such errors at runtime poses significant challenges. In this paper, we propose an error diagnosis approach using Bayesian Networks. Each node in the network captures the potential (root) causes of operational errors and its probability under different operational contexts. Once an operational error is detected,...
Recovering from failures of sporadic operations such as rolling upgrade or migration is complicated by the fact that the application being upgraded or migrated must continue to provide service. This means that recovery strategies for sporadic operations must include facilities for recovering from normal operations as well. As a step in deriving methods for recovering from failures in sporadic operations,...
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